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Aeration, as a process in pulp and paper wastewater treatment, uses the greatest share of the energy. Therefore, if the energy efficiency of the treatment has to be improved, the focus must be on aeration. A key finding from the trials conducted for this paper, with effluent from a paper and pulp mill, was that the oxygen transfer coefficient could be doubled and the chemical oxygen demand could be decreased by 25%, if the effluent was pre-treated with 30 mg/l of aluminium coagulant (equivalent to 9.4 tonnes per day of AVR to 20000 cubic metres of effluent). Decrease in oxygen requirement implies decreases in aeration energy use. Pulp and paper mill effluents are not as biodegradable as municipal sewage, and the improvement in oxygen transfer properties of the effluent will have a positive influence over a longer period of time in the biological treatment. If the sludge is digested anaerobically, pre-treatment will also result in doubling the potential for methane generation. A holistic analysis of modifications to processes entails a study of the economic and environmental consequences as well. While the economic aspect is beyond the scope of this paper, only the net global warming as an environmental impact category has been studied, by taking recourse to specific emission coefficients. Of the four dosages of ferric aluminium sulphate considered in this analysis, the net greenhouse gas emissions are the least – 426 kg carbon dioxide equivalent per day when the daily consumption is 9.4 tonnes. [ABSTRACT FROM AUTHOR]

Product service systems (PSS) are an example of a novel business model billed as having the potential to significantly reduce the environmental burdens of production and consumption processes. However, despite widespread interest in PSS, consensus regarding their actual environmental impacts, particularly with regard to salient issues such as global warming, is lacking. Hence this paper explores existing research to investigate the state of the art regarding the climatic impacts of PSS, alongside the set of factors that influence climatic impacts. The paper comprises a systematic review of peer-reviewed academic literature, quantifying the extent to which different types of PSS have the capacity to reduce greenhouse gas emissions across multiple product categories. Our study shows that significant reductions in climatic emissions are possible, but PSS are in many cases associated with more modest reductions and, in some cases, increased emissions. Further, we observe no clear differences in climatic impacts according to the type of PSS model that is deployed. Rather, differences in climatic impact are influenced by factors such as production and design alongside use-phase impacts and contextual factors such as transportation and the energy mix. The study argues that further research is needed to establish a more robust baseline upon which to draw conclusions regarding the sources of climatic impacts, and outlines fruitful ways for companies to tackle the complexities of climatic emissions that are beyond their control. • In some cases, product service systems can reduce climatic impacts by up to 80%. • In other cases, climatic impacts increase compared to traditional product sales. • Climatic impacts are influenced by use intensity, transportation and production. • Other contextual factors such as the energy mix play a role. • More quantitative assessments are needed with less reliance on estimations. [ABSTRACT FROM AUTHOR]

In recent years, there has been a notable surge in focus on the mitigation of carbon emissions, mostly motivated by the urgent concern about global warming and its adverse impacts on the Earth's climate. Power-to-gas (PtG) systems have emerged as a promising technological solution in the pursuit of mitigating carbon emissions. This paper presents a mathematical modeling framework that aims to accurately represent the power-to-gas system integrated with wind power plants while taking into account the technological constraints of the system in practical scenarios. To analyze the proposed system under the stresses, worst situations caused by existing uncertain parameters, especially wind power, is modeled using a risk modeling technique called downside risk constraints (DRC). The DRC endeavors to mitigate the likelihood of situations resulting in significant stresses by incorporating an expected downside risk into the proposed framework. This paper will provide a number of conservative tactics to be employed in the decision-making process under the realizations of uncertainties. These tactics, including strategic operational control strategies, provide a structured approach for decision-making under uncertain conditions. By incorporating downside risk constraints, the framework enables conservative decision-making that prioritizes mitigating potential losses and minimizing the operational risk within scheduling horizon of proposed PtG facility. The findings demonstrate that the implementation of PtG technology has the potential to yield a substantial reduction in external energy consumption, namely by 39.1 %. Additionally, it has been seen that PtG may effectively mitigate carbon emissions, resulting in a decrease of 38.9 %. The utilization of PtG technology and gas storage will result in a substantial reduction in wind curtailment, ultimately leading to a near elimination of curtailment. Further study is conducted on the model in order to explore the benefits of carbon and methane storage, as supported by the results obtained. [ABSTRACT FROM AUTHOR]

The battery electric vehicle (BEV) industry, commanding over half of the global market share in China, has garnered significant attention in response to escalating concerns about climate change. NCM (LiNi x Co y Mn z O 2) batteries, prized for their high energy density, are pivotal in this industry. However, their production relies on critical metals, posing environmental challenges. Recycling processes aim to address this issue by recovering critical metals from end-of-life batteries. The industry is updating from NCM 111 to NCM 811 batteries to enhance energy density and reduce costs, but the key factors influencing the material flows and environmental impacts remain uncertain. This paper aims to identify the key factors contributing to the potential differences in material flows and environmental impacts introduced by the NCM battery upgrading in China. Following the new energy vehicle sales projections in China until 2035, a dynamic material flow analysis was employed to calculate material demands, recovered amounts, and substitution rates for various upgrading scenarios. The study reveals that the majority of retired batteries until 2035 were sold between 2022 and 2029. Material substitution rates prove to be more sensitive to the upgrading scenario than the lifetime and growth rate of BEVs. Faster NCM 811 penetration results in over 2.5 times more saved cobalt demand compared to additional nickel demand. A life cycle assessment of NCM batteries reveals a 39% lower global warming impact for NCM 811 compared to NCM 111, highlighting environmental benefits from increased energy density and reduced cobalt consumption. The energy density improvement contributed 85%, while the alteration in material composition contributed 15% to the global warming reduction in NCM 811. Recycling emerges as a crucial strategy in mitigating environmental impacts across all categories, particularly addressing eutrophication, previously deemed challenging due to the difficulty in recovering Li 2 CO 3. [ABSTRACT FROM AUTHOR]

Two economic activities have been integrated in southern Brazil: olive cultivation and sheep farming. The favorable edaphoclimatic conditions in the southern region for cultivating olive trees and cultural preferences for the consumption of sheep meat make this integration a valuable strategy. Considering that every activity causes environmental impact and the exploitation of natural resources, new systems that promote sustainable development and the efficient use of these resources become necessary. This paper presents the first study of the carbon footprint of the life cycle of integrating of sheep and olive farming, with the objective to build an inventory based on primary data collected on olive and sheep farms in Brazil, determine the carbon footprint of the conventional and integrated system and estimate the potential for mitigating GHG emissions. The evaluation was performed using the life cycle assessment (LCA) methodology. The study focuses on the detailed analysis of the processes and activities that are responsible for GHG emissions, including enteric methane emissions, methane emissions from manure management, emissions from nitrogen fertilizer use and limestone application and energy consumption. For this, two major scenarios were considered, the first centered around on the traditional olive cultivation and sheep farming systems individually, and the second involved their synergistic integration. The findings indicate that the conventional system is associated with a global warming impact of 6.8 kg CO 2 eq per liter olive oil and kg live weight. In contrast, the integrated system demonstrates a significant mitigation potential of 27.7%, resulting in a reduced global warming impact of 4.92 kg CO 2 eq. This advantage is a consequence of the synergy between the systems, as they now occupy the same area, which allows the sharing of agricultural activities and agrochemical inputs, in addition to optimizing nutrient recycling and complementing each other. Additionally, the results of a sensitivity analysis showed that enteric methane from sheep and the application of limestone to the soil are the most influential parameters on the carbon footprint, indicating that they are key parameters for the development of GHG mitigation strategies, some of which were discussed in the article. • First life cycle assessment of integration between olive and sheep farming in Brazil. • The inventory was constructed with primary data collected in situ. • The study assesses the carbon footprint of the olive and sheep farming system. • The results show environmental advantages of the integration of olive and sheep farming systems. [ABSTRACT FROM AUTHOR]

The quest for sustainability and reduction of human impact on the planet has led to discussions about environmental efficiency in the manufacture and use of automotive vehicles. The advancement of environmental and government laws has encouraged the automotive industry to seek constant improvements in safety, fuel economy and reduction of greenhouse gas emissions. To achieve these goals, reducing the weight of vehicles has been considered a relevant strategy, with several research and development efforts in search of high-tech materials and innovative design. The assessment of the life cycle of vehicles, from the extraction of raw materials to the end of their useful life, is essential for estimating environmental impacts. In this context, this paper focuses on the life cycle analysis of vehicles with new generation steel structures (Body in White Solution) compared to current steels (Body in White Baseline), aiming at reducing greenhouse gas emissions by reducing of the thickness of the steel plates, maintaining the mechanical properties necessary to guarantee the safety of the vehicle. The methodology of this study was divided into the evaluation of Body in White (BIW) mass in current steels (Baseline) and in advanced high resistance steels (Solution); detailing the vehicular life cycle from the extraction of materials to its end of life; in the estimation of greenhouse gas emissions through simulation and in the comparison of vehicle emissions with BIW in current steels and in advanced high resistance steels. As a result, it was possible to observe that, in the comparison of the CO 2 footprint, modeled in the Eco Audit, there is a 15% reduction in emissions in the CO 2 footprint for the BIW solution, as well as a 7% reduction in the C eq total , in the on-site test and a saving of 260.40 L in fuel consumption, that is, the reduction in vehicle weight plays a significant role in reducing CO 2 emissions, providing a mitigation factor for global warming. [Display omitted] • There is a 15% reduction in emissions in the CO2 footprint for the BIW solution. • There is a 7% reduction in the Ceq total, in the on-site test. • Reduction in vehicle weight plays a significant role in reducing CO2 emissions. • Providing a mitigation factor for global warming. • There is a fuel economy of 260.4 L over the vehicle's life cycle. [ABSTRACT FROM AUTHOR]

Food, energy, and water, as the basic resources supporting human survival, are fundamental to the sustainable development of humanity. Urban space plays an influential role in promoting the sustainable development of the three resources. As environmental problems such as global warming, ecological destruction, and resource shortages become increasingly severe, there is also a growing recognition of the importance of community as the fundamental component of urban space in sustainable development. In order to systematically understand the impact between food–energy–water nexus and community spatial planning, this paper provides a comprehensive literature review to bridge the current gaps in this area. This paper uses the nexus approach to summarize the trends and results of the food–energy–water nexus research in the community space field from the following five aspects: spatial scale, spatial interface, interactions, synergistic effects, and research methods. The results show that food–energy–water systems in community space are closely related to each other. However, the existing studies mostly focus on resource interaction and environmental impact, and lack of discussion on how food–energy–water nexus affects community spatial planning and its optimization. Finally, based on the current results, this paper proposes a conceptual research framework of the food–energy–water nexus in community space including influential mechanisms, space utilization, disciplinary integration, new technology application, data and methods. Therefore, the major findings of this review highlight the importance of the impact between food–energy–water nexus and community spatial planning and develop a conceptual framework for research. • This paper reviewed the FEW nexus research in the community space field. • It shows that FEW systems in community space are closely related to each other. • Researchers mainly focus on interactions of the FEW but rarely on other constraints. • It summarized new FEW system integration approaches to promote synergistic effects. • A conceptual research framework for the FEW nexus in community space is proposed. [ABSTRACT FROM AUTHOR]

Plastic grocery bags are one of the most ubiquitous single-use packaging products. Recently, 'eco-friendly' options of plastic grocery bags have gained traction such as kraft paper, cotton, biodegradable, and reusable polypropylene non-woven bags. However, the impact of using various grocery bags in cities with dense population, well-developed infrastructure and thermal treatment as an end-of-life waste management option has been insufficiently documented. In this study, commonly found single-use (HDPE, biodegradable plastic, kraft paper) bags and reusable (cotton, polypropylene non-woven) bags were considered for the life cycle assessment (LCA). The usage characteristics (reusability, dimensions, carrying capacity) of bags, the production process (raw materials extraction, production processes), and emissions were determined as the significant factors contributing to the negative environmental impacts. In a model city with confined waste management, the assessment determined that the reusable polypropylene non-woven bag (PNB) caused the least overall negative environmental impacts when there are 50 instances of reuse, followed by single use HDPE plastic bag (HPB). The global warming potential (excluding biogenic carbon) was 14, 81, 17 and 16 times higher for HDPE plastic, kraft paper, cotton woven and biodegradable polymer bags, respectively, when compared to PNB. Moreover, kraft paper or cotton woven bags demonstrated the highest negative impacts for the impact categories including abiotic fossil depletion, freshwater-, marine- and terrestrial-ecotoxicities, human toxicity, acidification and eutrophication potentials. Further, sensitivity analysis indicated that the inflexion point for the PNB was minimum 4 reuses to avoid emission equivalent to the HPB. Singapore was adopted as the model city with confined waste management structure that imports most of the grocery bags, either as finished goods or as raw materials. Through comprehensive insights based on the new outlook of the integrated LCA model (cradle-to-grave) that included full-scale transportation component, the usage of the real case data from a city to develop the life cycle inventory, and consideration of the existing grocery bags options, the environmental assessment along with critical evaluation was conducted. • Case specific life cycle assessment of grocery bags in the context of Singapore. • Plastic bags presented lower environmental footprint than paper and cotton bags for Singapore. • Plastics are an environmental friendly option for waste management structures with end-of-life thermal treatment. • Multiple reuse of plastics is a means to minimize environmental footprint. [ABSTRACT FROM AUTHOR]

Abstract Improving rural household energy efficiency is an important policy issue for climate change mitigation in China. A better understanding of the factors affecting farmers' energy-efficient appliance use behavior can help policymakers design more effective policies. This paper explores the effect of farmers' risk preferences and loss aversion on their energy-efficient appliance use behavior in rural China. Using unique data from a survey and a paired lottery experiment completed by 235 rural household heads in the Dazu District of China, this study finds that the farmers' risk preferences and loss aversion have significant effects on their energy-efficient appliance use behavior. The more risk-averse farmers are less likely to buy or use energy-efficient appliances. The farmers who are more loss averse are more willing to purchase and more likely to use durable energy-efficient appliances. In addition, the farmers' demographic factors (age, gender, education, and family location), their perceptions of climate change adaptation and their trust attitudes have significant effects on their energy-efficient appliance use behavior. This paper contributes to the emerging literature that relates risk preferences and loss aversion in experiments to farmers' energy-efficient appliance use behavior. Highlights • The analysis is based on a unique data set combining a survey and economic experiments. • The average response of our sample is risk averse and loss averse. • The more risk-averse farmers are less likely to use energy-efficient appliances. • The more loss-averse farmers are more willing to use durable energy-efficient appliances. • Farmers' socioeconomic status and trust attitudes affect their use behavior. [ABSTRACT FROM AUTHOR]

Abstract: A number of empirical methods have been developed to study China's sectoral carbon emissions (CSCE). Measuring these emissions is important for climate change mitigation. While several articles have reviewed specific methods, few attempts conduct a systematic analysis of all the major research methods. In total 807 papers were published on CSCE research between 1997 and 2017. The primary source of literature for this analysis was taken from the Web of Science database. Based on a bibliometric analysis using knowledge mapping with the software CiteSpace, the review identified five common families of methods: 1) environmentally-extended input-output analysis (EE-IOA), 2) index decomposition analysis (IDA), 3) econometrics, 4) carbon emission control efficiency evaluation and 5) simulation. The research revealed the main trends in each family of methods and has visualized this research into ten research clusters. In addition, the paper provides a direct comparison of all methods. The research results can help scholars quickly identify and compare different methods for addressing specific research questions. [ABSTRACT FROM AUTHOR]

Abstract With the development of China's economy, the use of fossil energy has become more and more, resulting in increasing carbon emissions. CO 2 emissions have caused global warming, threatening humans and creatures on Earth. In order to effectively suppress the growth of carbon emissions, it is necessary to analyze the influencing factors of carbon emissions and apply them to predict carbon emissions. This paper presents sixteen potential influencing factors and uses grey relational analysis to identify the factors that have a strong correlation with carbon emissions. The principal component analysis (PCA) is used to extract the four principal components, which reduce the redundancy of the input data. The long short-term memory (LSTM) method is established to predict carbon emissions in China. We use back propagation neural network (BPNN) and Gaussian process regression (GPR) to compare LSTM method. The simulation results show that the prediction accuracy of carbon emissions based on LSTM is better than that of BPNN and GPR, indicating the effectiveness of PCA and LSTM in prediction of carbon emissions. Finally, this paper provides the theoretical basis for China to reduce carbon emissions by studying prediction of carbon emissions. Highlights • Grey correlation analysis is applied to identify factors associated with carbon emissions. • Principal components analysis is used to simplify input variables and obtain the main factors affecting carbon emissions. • The long short-term memory model is used for the first time to predict carbon emissions. • The direction of reducing carbon emissions in China is given by analyzing the prediction results. [ABSTRACT FROM AUTHOR]

Although the carbon reduction role of green finance has been highlighted in the context of global warming, discussions on green finance have primarily focused on size rather than structure. Based on Chinese panel data from 2008 to 2019, this paper distinguishes itself by investigating the relationship between green financial structures and carbon emission intensity from a structural matching perspective using the two-way fixed effect model, system generalized method of moments model, quantile regression, and the mediating effect model. Our findings indicate that a green financial structure can lower overall carbon emission intensity and that an inverted U-shaped carbon emission mitigation effect results from a green financial structure. Additionally, green financial structures alleviate carbon emission intensity by facilitating the development of energy technology. Furthermore, greater degrees of finance-technology matching effectively lower carbon emission intensity. These findings provide lessons for countries striving to construct comprehensive and reasonable green financial systems to address climate change. [ABSTRACT FROM AUTHOR]

The increasing contribution of refrigeration systems to global warming has led to widespread demand for low global warming potential (GWP) refrigerants as alternatives. This paper proposed a comprehensive environmental assessment method for evaluating the carbon footprint of units charged with low-GWP refrigeration. Experimental and numerical studies were used to investigate the carbon footprint impact of using alternative refrigerants at different ambient temperatures in China. Initially, the model was validated through experimental case studies on the use stage of cold storage units. Subsequently, a comparison was made between the cooling capacity (CC) and energy efficiency ratio (EER) of cold storage units charged with different refrigerants. Additionally, the impact of alternative refrigerants in the use stage was analyzed by numerical calculations, and the adaptability of the cold storage unit to the ambient temperature and the national energy structure was also studied. The results indicate that among the four stages of the cold storage unit, the use stage is the hotspot of carbon footprint due to the large amount of energy consumption and the existence of refrigerant leakage and other behaviors. Utilizing low-GWP alternative refrigerants could significantly reduce the carbon footprint of the cold storage units' use stage by 10.56%–16.39%, thereby lowering the whole stage carbon footprint. Furthermore, the ambient temperature and national energy structure could also effectively reduce the carbon footprint of cold storage units' whole stage by 1%–27.17%. Furthermore, after adopting low GWP refrigerants, the life-cycle cost (LCC) of the units have also decreased by 6.1%–12%. Taking into account both environmental impact and economic considerations, it is recommended to directly replace R404A with R448A in the units in regions where the average ambient temperature is above 15 °C. • A carbon footprint evaluation model for the units was established. • Influencing factors of carbon footprint are studied numerically and experimentally. • By GHG assessments, the optimal refrigerant and external conditions were determined. • Alternative refrigerants reduce carbon emissions for cold storage units by 8.8%–24.92%. [ABSTRACT FROM AUTHOR]

The efficient and effective new energy vehicles (NEVs) power batteries recycling (PBR) plays a critical role in reusing scared metal resources, decarbonizing the transport sector and climate warming mitigation. The policy consistency from up to down in a big country lays a solid foundation for sustainable recycling. However, quantitative comparison or evaluation of power batteries recycling policies (PBRPs) from various levels of government is insufficient in the existing literature. In this paper, text mining technology and the Policy Modelling Consistency Index (PMC-Index) model are used to evaluate the longitudinal and horizontal consistency level of China's 13 central PBRPs as well as 25 local PBRPs from 2016 to 2022. The findings demonstrated that: (1) Longitudinally, the local governments present a high consistency level with the central government in the objective and content of PBRPs via comparison analysis of high-frequency words, which embodies the local governments firmly advocating the national strategy for retired battery recycling. (2) Horizontally, the number of central PBRPs with excellent and good consistency is five and seven, respectively, while the number of local PBRPs with excellent and good consistency is six and seven, respectively. One central and twelve local PBRPs are of acceptable consistency, indicating significant disparity in local governments' policymaking ability. (3)The drawbacks of those acceptable policies attribute to the policy tendency of traceability management, policy timeliness, policy content in terms of incentives and business recycling model. Finally, management implications were summarized to optimize China's PBRPs system and PBR performance based on the empirical result, an overview of PBRPs and recycling practices in developed countries. [Display omitted] • We evaluate the China's central and local power batteries recycling policies. • The PMC-Index model is used to quantitative analysis of policy consistency. • The longitudinal and horizontal consistency of battery recycling policies is good. • We outline the power battery recycling policies and practice in the EU and the U.S. • Carbon footprint requirements should be added in China's battery recycling polices. [ABSTRACT FROM AUTHOR]

Soil respiration is the process of decomposition of organic matter in soil and microbial metabolism to produce carbon dioxide. In the context of climate warming and degradation of agricultural soil fertility, it becomes crucial to explore the mechanisms of soil respiration to increase carbon sequestration. In this paper, five biochar applications (0, 3.79, 7.58, 11.36, 15.15 t/ha) and two tillage methods (shallow ploughing, deep ploughing) were set up to explore the mechanism of soil respiration and its temperature sensitivity by studying the effects of tillage methods and different amounts of biochar application on soil properties, soil enzyme activities, soil respiration and its temperature sensitivity during the growing season of soybeans in the black soil area. The results showed that soil respiration rate increased with biochar application in the low biochar application range; the opposite trend was observed for high biochar application beyond the threshold (11.36 t/ha). The application of 11.36 t/ha of biochar amount had the strongest promotion effect on soil respiration, reaching 2.42 μmol m−2·s−1 in the shallow ploughing treatment and increasing 0.32 μmol m−2·s−1 in the deep ploughing compared to the shallow ploughing. The application of biochar significantly increased the activity of nitrogen and phosphorus enzymes and had an inhibitory effect on carbon cycle enzymes; the increased activity of nitrogen and phosphorus cycle enzymes provided sufficient substrate for microbial respiration and thus increased soil respiration, and the decrease in the enzymatic reaction of carbon cycle enzymes led to a decrease in temperature sensitivity. The temperature sensitivity of deep ploughing (2.18–2.59) got a more substantial reduction than that of shallow ploughing (2.34–3.53), which indicates that deep ploughing treatments can better reduce the mineralization of organic carbon than shallow tillage. Meanwhile, the temperature sensitivity of soil respiration reached a minimum with the application of 7.58 t/ha of biochar, which was reduced by 16% under deep ploughing treatment compared to the control, 33% under shallow ploughing treatment compared to the control, and also reduced by 27.27% under deep ploughing compared to shallow ploughing, which suggests that the addition of biochar reduces the loss of carbon to a certain extent. This study is important for assessing the effects of tillage practices and biochar combinations on carbon sequestration in agricultural soils in black soil areas. Note: Upward arrows indicate an increase, downward arrows indicate a decrease, and the thickness of the line characterizes the degree of strength; SP and DP represent shallow and deep ploughing treatments. [Display omitted] • DP applied 7.58 t/ha of biochar reduced Q 10 by 16% compared to the control. • The Q 10 of DP is reduced by 36.29% relative to SP without the application of biochar. • Soil enzyme activity enhances soil respiration but reduces temperature sensitivity. [ABSTRACT FROM AUTHOR]

Using biomass for partial replacement of coke breeze in iron-ore sintering process is an effective technique as a countermeasure against global warming. However, the sinter strength would be weakened due to the damaged heat pattern at high biomass proportion. In this paper, the gaseous fuel injection method was experimentally investigated with the aim at solving this problem. Eleven cases were arranged to examine the ultra-low concentration of methane combustion and its effect on the improvement of heat pattern at high charcoal proportion. The temperature in the sintering bed was recorded by both thermocouples and infrared thermography. The thermocouple data indicated that the melt quantity index was significantly increased by employing the gaseous fuel injection method. Moreover, the infrared images show that the red-hot region was expanded at each moment in the methane injection cases. The influencing mechanism of gaseous fuel injection on the heat pattern in sintering process was revealed in this paper. As the premixed methane/air approaching to the solid fuel combustion zone, it was preheated by the hot sintered ores, then ignited and self-sustained near the solid fuel combustion zone. A newly generated gaseous fuel combustion zone coupled with the solid fuel combustion zone was used to control the heat pattern in sintering bed. The results showed that the heat pattern and sinter strength kept increasing until the methane concentration increased to 0.4–0.5% under the lab conditions. The stable interval of secondary combustion zone in the sintering bed was also analyzed. Finally, comprehensively considering the sinter strength, yield, productivity and sintering time, the recommended equivalent methane concentration at high charcoal proportion was 0.5% where the shatter strength grew 3.78% and solid fuel rate reduced 7.52%, compared with 100% coke sintering case. Generally, the gaseous fuel injection offers a technical support for the iron ore sinter production using cheap or carbon neutral solid fuel. More importantly, this method can also reduce solid fuels (the main contributor of contamination dust during the production, transportation and storage) consumption by partial substitution of cleaner gaseous fuel. [ABSTRACT FROM AUTHOR]

Residential sector has been one key sector for reducing its greenhouse gas emissions due to its significant contribution to global warming. Researchers in different countries have studied household energy consumption patterns and greenhouse gas emissions in order to promote low-carbon lifestyles. However, few review papers have been published in this regard, leading to a lack of systematic understanding on the related research achievements. Hence, by using a bibliometric approach, this paper aims to review the existing literature and examine the evolution of such a field so that the research trends can be uncovered, including popular research methods. Citation analysis is performed to assess the influence of most productive journals, countries/territories, and authors. Network analysis is also conducted to evaluate the relationship among different countries/territories, authors, and keywords. Research outcomes of this paper present a comprehensive research picture on residential energy consumption and corresponding greenhouse gas emissions (REE) related papers published from 1997 to 2016. The most productive journals, countries/territories, authors are also analyzed based on citation analysis and network analysis. In addition, results also revealed that behavioral analysis, input-output analysis, life cycle assessment, and cost-benefit analysis are the most commonly used methods in this field. Results obtained from this study can provide valuable information for researchers interested in the REE-related field. [ABSTRACT FROM AUTHOR]

Pavement life cycle assessments (LCAs) enable decision-makers to evaluate the environmental impact of alternative maintenance, rehabilitation, and reconstruction strategies. This paper explores the viability of deep reinforcement learning (DRL), a framework that enables agents to learn optimal actions within a given situation, to identify environmentally benign pavement management strategies. More specifically, this study utilizes proximal-policy optimization (PPO), a subtype of DRL algorithms, to identify a management strategy that minimizes the expected global warming impact of a pavement facility over its lifecycle. Through an urban Interstate case study, this paper shows that the proposed PPO algorithm identifies management strategies that are anticipated to reduce the expected global warming impact of a pavement facility over its planning horizon by 16 percent relative to traditional practice. Furthermore, the PPO algorithm is able to identify this management strategy in only 25 learning iterations, which is in stark comparison to Q -learning, a common reinforcement learning algorithm, that requires 70,000 learning iterations. The results of this work highlight the viability of DRL to integrate within complex LCA models to determine environmentally sustainable pavement management strategies. • Deep reinforcement learning (DRL) supports the identification of environmentally benign pavement management strategies. • Probabilistic LCA integrates DRL to minimize a pavement's global warming impact. • Proximal policy optimization (PPO) converges to a near-optimal management strategy. • PPO identifies a management strategy where expected GWP is 16% lower than traditional practice. [ABSTRACT FROM AUTHOR]

Climate warming is a common concern around the world. Achieving carbon reduction within the warehouse is a problem that needs to be addressed in the layout of the green warehouse. This paper builds a soft path model to study the impact of the improved systematic layout planning method on carbon reduction in warehouses from a low carbon economy perspective. This paper considers two main warehouse layout factors: logistic and nonlogistic factors. A dual-objective warehouse optimization model is designed by quantifying the relationship between logistic and nonlogistic factors, and the heuristic algorithm is used for simulation optimization. Finally, the functional warehouse area is comprehensively evaluated using fuzzy constraint theory. The results show that the established soft path solution optimizes and improves logistics activities such as internal warehouse layout, material handling strategy, and warehouse management by comparing with the traditional layout method. The efficiency of warehouse operation, warehouse space utilization, and energy are improved. The goal of reducing carbon footprints from the warehouse is thus achieved. It is demonstrated that the soft path solution can minimize warehouse carbon emissions and generate positive synergy in terms of environmental impact. This study enriches green warehouse layout design procedures and provides a facility optimization technique with the potential to minimize warehouse carbon emissions, which can help planners combine other green warehouse management tools to optimize operations and reduce carbon in daily practice. [ABSTRACT FROM AUTHOR]

Recent problems faced by industrial players commonly relates to global warming and depletion of resources. This situation highlights the importance of improvement solutions for industrial operations and environmental performances. Based on interviews and literature studies, manpower, machine, material, money and environment are known as the foundation resources to fulfil the facility's operation. The most critical and common challenge that is being faced by the industrialists is to perform continuous improvement effectively. The needs to develop a systematic framework to assist and guide the industrialist to achieve lean and green is growing rapidly. In this paper, a novel development of an adaptive analytic model for lean and green operation and processing is presented. The development of lean and green index will act as a benchmarking tool for the industrialist. This work uses the analytic hierarchy process to obtain experts opinion in determining the priority of the lean and green components and indicators. The application of backpropagation optimisation method will further enhance the lean and green model in guiding the industrialist for continuous improvement. An actual industry case study (combine heat and power plant) will be presented with the proposed lean and green model. The model is expected to enhance processing plant performance in a systematic lean and green manner. Image 105947 • Development of adaptive lean and green model in processing industries. • Adaptive analytical approach to 4M1E in lean and green approach. • Continuous process improvement strategy with backpropagation algorithm. • Adaptive model can direct industrialist to improve Lean and Green indicators. • More data will enhance the stability and prediction of the adaptive model. [ABSTRACT FROM AUTHOR]

Biscuits are a major product category in the global confectionary sector. Despite this, their environmental impacts are poorly characterised. Therefore, this paper sets out to evaluate the life cycle environmental sustainability of the following widely-consumed types of biscuit, both at the product and sectoral levels: crackers, low fat/sugar, semi-sweet, chocolate-coated and sandwich biscuits with chocolate or vanilla cream. The results obtained through life cycle assessment demonstrate that, in addition to being healthier, low fat/sugar biscuits have the lowest impacts across most of the 18 categories considered. Chocolate-coated biscuits are environmentally the least sustainable. The most significant life cycle stage for all types is the raw materials production, causing 41%–61% of the total impacts, with flour, sugar and palm oil being the key hotspots. Replacing palm with rapeseed oil would improve five impacts but worsen another five, including a 34% increase in agricultural land occupation and marine eutrophication. Therefore, the cultivation and production of palm oil, rather than its replacement, should be targeted for improvements. The second most crucial stage is manufacturing, contributing up to 54% of the impacts, followed by transport with up to 35%. Reducing energy consumption by 25% in manufacturing would reduce primary energy demand by 8%–12%, fossil fuel depletion by 9%–12% and global warming potential by 6%–9%. The latter would increase by 55% if land use change related to cocoa was involved, despite a very small amount of cocoa in the biscuits (∼1%). The analysis at a sectoral level in the UK, the leading consumer of biscuits in Europe, reveals that biscuits contribute 7.4% of primary energy demand and 0.5% of greenhouse gas emissions of the whole UK food sector. These results can help guide manufacturers in mitigating the hotspots in the supply chain and consumers in selecting environmentally more sustainable biscuits. • The environmental sustainability of six types of biscuit is evaluated for the first time. • Low fat/sugar biscuits have the lowest impacts and chocolate-coated the highest. • Global warming potential of chocolate biscuits is 55% higher with land use change. • Flour, sugar and palm oil are the key hotpots, followed by biscuits manufacturing. • Biscuits contribute 7.4% of energy demand and 0.5% of GWP of the UK food sector. [ABSTRACT FROM AUTHOR]

In construction industry, apart from cement, the aggregate type, mix design method and transport distance of raw materials also contribute significantly to the environment related issues. This paper compares environment impacts of recycled coarse aggregate (RCA) and Particle Packing Method (PPM) of mix design approach with the concrete proportioned using natural coarse aggregate (NCA) and IS code method. The system boundary is determined based on cradle-to-gate theory. The primary data regarding the preparation of NCA and RCA are collected from the respective production facilities and Ecoinvent 3.01 is used as background database. Abiotic depletion, abiotic depletion due to fossil fuels, global warming potential, depletion of ozone layer, formation of tropospheric ozone photochemical oxidants, acidification potential, and eutrophication potential are measured using CML baseline method with the help of SimaPro software. Lower environmental impacts are observed for PPM mix designed concrete owing to the requirement of lesser cement quantity. The combination of RCA and PPM mix design approach exhibits minimum environmental impacts. Transport activities are the second largest contributor after cement and hence, sensitivity analysis is carried out to evaluate the influence of different transport scenarios and distances in Indian context. For comparable environmental impact with natural aggregate concrete proportioned using IS code method, the maximum possible supply distance of RCA is determined for different collection distance of C&D waste. The collection distance of C&D waste can be incremented by 9–12 km for each 50 km increment in the supply distance of processed RCA to prepare recycled aggregate concrete. • Environmental impacts of aggregates and mix design approaches are evaluated. • RAC PPM exhibited lowest environmental impact. • Transportation is the second largest contributor to the environmental impacts. • Limit transport distance of aggregate is determined for various impact categories. • Maximum possible collection distance of C&D waste is optimized. [ABSTRACT FROM AUTHOR]

The implementation of scientific studies can help to improve sustainable solutions in the agri-food sector according to current European policy. The present paper aims to evaluate the carbon footprint, according to ISO/TS 14067:2013, of 0.5 kg of sweet cherries packaged in clamshell made in polyethylene terephthalate (PET). The research assesses the supply chain, from agricultural (from nursery to dismantling) to the processing phase in firms located in the Apulia region. Results show a global warming potential over a fixed period corresponding to 100 years equal to 0.584 kg CO 2eq , primarily deriving from agricultural management (0.442 kg CO 2eq) and secondly from fruit processing (0.068 kg CO 2eq). In the orchard phase, the main impacts derived from electricity consumed to pump groundwater used for irrigation and fertigation activities (15.84% of the total), transportation of manure (6.42% of the total), ploughing activity (4.83% of the total) and production of nitrogen fertilisers (4.28% of the total). Cherries processing in the collecting centre showed impacts from electricity consumption (5.57% of the total) and from waste deriving from damaged or non-conforming cherries (4.74% of the total). The PET clamshell production phase had an impact deriving principally from the use of PET granulate (0.0743 kg CO 2eq). The study highlighted that manure administration and pruning activities contribute to decreasing greenhouse gas (GHG) emissions. Moreover, the sensitivity analysis showed that substitution of electricity-mix deriving from the Italian national grid with a photovoltaic plant lowered GHG emissions by 19%. The present study could contribute in providing suggestions to stakeholders and scholars in reducing GHG emissions and promoting more environmentally sustainable sweet cherry production practices. Image 1 • Increasing knowledge on the CF assessment of the sweet cherries supply chain. • A case study of sweet cherry production located in Southern Italy was examined. • Carbon Footprint assessment was applied to 0.5 kg of sweet cherry in PET clamshell. • Results show that GWP 100 is equal to 0.584 kg CO 2eq. • Main impacts deriving from agricultural activities (75%) and fruit processing (12%). [ABSTRACT FROM AUTHOR]

Tourism places pressures on the environment through the services provided (accommodation, food, leisure activities, and transport), meanwhile it is particularly vulnerable to global warming as climate is a crucial component of destinations' attractiveness. As a result, research focusing on the impacts of tourism has increased significantly. Practitioners consult a plethora of frameworks and publications to environmentally assess tourism but none of the existing guidelines provides specific recommendations making difficult to obtain reliable results that can be properly replicated and compared. This paper discusses the use of Footprint family indicators in tourism through a review of studies that measure the Water, Carbon, and Ecological Footprint of tourists. Results show a lack of specific data, and an absence of consensus about the system boundaries and methodologies used for calculation. Food production and transportation are the main drivers of environmental burdens. The Footprint indicators help to understand the trade-offs between environmental effects which can be used to prioritize sustainability efforts in the tourism industry. Additionally, this study presents a critical analysis of the influence on the trip's Footprint of the services provided to different rated tourism experiences (high, medium, and low rated) and offers a reflective comparison on the pressure exerted by visitors and the local population. • Tourism Footprint studies lack trustworthy datasets due to gaps in specific data. • Lack of consensus on boundaries in tourism Footprint studies hinders result comparison. • Tourism Footprint studies generally ignore end-of-life environmental impacts. • High-rated vacations impose the highest environmental burdens. • Tourists exert more pressure on natural resources and ecosystems than residents. [ABSTRACT FROM AUTHOR]

Cement industry is one of the largest contributors to greenhouse gas emissions accounting for about 7% of global CO 2 emission. As global cement demand continues to rise exponentially, the industry is taking numerous effective steps to meet net-zero emission targets by limiting global warming to 1.5 °C by the end of the century and improve the ecological system. Worldwide, about 2.9 billion tons of CO 2 were emitted in 2021 from cement production and the industries are expected to achieve the net-zero target by 2050. The reduction of CO 2 emission remains a major challenge for the cement industry as the manufacturing processes and the current infrastructure allow little margin for the reduction in CO 2 emission, considering the age-old and conventional Portland cement chemistry. To achieve a net-zero emission target, several effective measures are being explored to mitigate CO 2 emissions from cement industries, viz., use of alternative fuels, reducing clinker-to-cement ratio, improving energy efficiency, carbon capture, utilization, and storage (CCUS) techniques etc. Apart from these, production of low-carbon cement different from Portland clinker chemistry has the potential to make a big difference in mitigating CO 2 emission. Carbonatable calcium silicate-based cement, is found to be a promising alternative to OPC and reduces about 70% of total CO 2 emission from cement production. This paper thoroughly reviews the different low-carbon emission approaches (both direct and indirect) such as reducing clinker factor, lowering the clinkerization temperature by using fluxes and mineralizers (such as CaF 2 , BaO, SnO 2 , P 2 O 5 , Na 2 O, NiO, ZnO etc), producing low temperature clinker, use of supplementary cementitious materials (SCMs) in concrete and capturing the emitted CO 2 through mineral carbonation, direct air capture (DAC) etc for future alternative low-carbon cements. Various commercialized technologies for reducing CO 2 emissions (CarbonCure, Solidia, Heidelberg, Novacem, Carbicrete and CO 2 -SUICOM) with their technology readiness levels (TRLs) are also discussed. [Display omitted] • Focus on reviewing major strategies to mitigate the carbon footprint of cement industry. • The CO 2 reduction potential of various low-carbon cements are discussed. • The status of various commercialized CO 2 utilization technologies are further discussed. [ABSTRACT FROM AUTHOR]

This paper presents the results of a systematic literature review of greenhouse gas emissions for different food categories from life cycle assessment (LCA) studies, to enable streamline calculations that could inform dietary choice. The motivation for completing the paper was the inadequate synthesis of food greenhouse gas emissions available in the public domain. The paper reviewed 369 published studies that provided 1718 global warming potential (GWP) values for 168 varieties of fresh produce. A meta-analysis of the LCA studies was completed for the following categories: fresh vegetables (root vegetables, brassica, leaves and stems); fresh fruits (pepo, hesperidium, true berries, pomes, aggregates fruits and drupes); staples (grains, legumes, nuts, seeds and rice); dairy (almond/coconut milk, soy milk, dairy milk, butter and cheese); non-ruminant livestock (chicken, fish, pork); and ruminant livestock (lamb and beef). The meta-analysis indicates a clear greenhouse gas hierarchy emerging across the food categories, with grains, fruit and vegetables having the lowest impact and meat from ruminants having the highest impact. The meta-analysis presents the median, mean, standard deviation, upper and lower quartile, minimum and maximum results for each food category. The resultant data enables streamline calculations of the global warming potential of human diets, and is illustrated by a short case study of an Australian family's weekly shop. The database is provided in the Appendix as a resource for practitioners. The paper concludes with recommendations for future LCA studies to focus upon with respect to content and approach. [ABSTRACT FROM AUTHOR]

The construction sector is one of the main contributors to carbon dioxide (CO 2) emission and causes of global warming. CO 2 mitigation solutions are vital. New technologies can facilitate and improve these efforts. Thus, the paper reviews how new technologies of artificial intelligence and machine learning have contributed to CO 2 emissions reduction in construction and what techniques have been applied in the literature to provide significant information that will be beneficial for the construction sector design and management. The paper provides the results of a content review, including their contributions and gaps. A total of 78 papers were identified to develop the dataset. The method was a combination of systematic reviews, including co-occurrence analytical map development of the main keywords, co-authorship network analyses, publication source analyses, and content analysis, including theme identification and review of the selected papers, which were divided into five conceptual clusters based on their scopes: (1) sustainable materials and components design/production, (2) on-site vehicles and equipment, (3) energy and life cycle assessment, (4) optimization, decision-making and solution-based platforms, and (5) real-world monitoring. The content of each cluster of papers was also reviewed, and the potential gaps were identified and discussed. A set of directions for future research investigations were presented that can be a valuable source for researchers in their future research. This paper contributes to the current knowledge base by presenting insights into intelligent techniques in the construction industry to mitigate CO 2 emissions. [ABSTRACT FROM AUTHOR]

Laser cladding is one of the principal means of equipment remanufacturing and the environmental profiles of this technology has become a research focus. This paper examines the environmental impacts of cast iron cylinder head block remanufacturing through laser cladding using life cycle assessment (LCA), and compares it with the new cylinder head block manufacturing. Resource and energy consumptions of each manufacturing and remanufacturing processes are collected along the production line and then the results of six selected environmental impact categories are calculated. Consistency and sensitivity analysis is also conducted after life cycle impact assessment. The results reveal that cylinder head remanufacturing by laser cladding will achieve large environmental benefits, which can cut environment impact over the entire life cycle by 63.8% on average. This paper also discusses the trend of changes in environmental impacts using scenario analysis over different remanufacturing levels. By taking characterized global warming potential (GWP) as the assessment index, the result shows that remanufacturing will no longer be the preferred option if it needs to repair more than 16 cracks by laser cladding for the cylinder head. [ABSTRACT FROM AUTHOR]

Decarbonization is a process that transforms economies to lower greenhouse gas (GHG) emissions per unit of economic output, aiming towards net-zero GHG emissions. This process could also reduce short-lived climate pollutant (SLCP) emissions, including black carbon and methane. They have relatively short atmospheric lifetimes but have large radiative forcing and impact human health. Therefore, reducing SLCPs can improve air pollution and help mitigate climate change. Costa Rica was one of the first countries to have a decarbonization plan, and many others have stated their goal to reach net-zero emissions by around mid-century. However, reducing SLCP emissions as an economy decarbonizes is not guaranteed, and few examples in the literature have assessed how decarbonization impacts SLCPs. This paper estimates the SLCP emission reductions from Costa Rica's decarbonization plan. Through a value chain analysis and the identification of implementation barriers, the paper also evaluates which policy instruments can advance SLCP mitigation in multiple sectors, creating implementation synergy. We find that mitigation measures, by 2050, in the transport, agricultural, solid waste, and industrial sectors avoid 25.2 kt of black carbon emissions (23 times the 2018 emissions) and 2167 kt of methane (15 times the 2018 emissions). However, the country faces financial and governance challenges in each sector that will need overcoming to implement the intended mitigation measures. We identify a comprehensive environmental tax reform, the overhauling of urban regulatory plans, the strengthening of institutional capabilities, and low-carbon investment with favorable financing as crucial cross-sectoral policy synergies that will advance the implementation of SLCP mitigation. • Decarbonizing can reduce and avoid short-lived climate pollutant (SLCP) emissions. • Black carbon and methane (two SLCPs) cause global warming and poor air quality. • Some policy instruments can reduce SLCPs in multiple sectors, causing synergy. • Improved urban planning can favor the mitigation in transport and waste sectors. • Institutional strength and favorable financing are needed to advance mitigation. [ABSTRACT FROM AUTHOR]

Decarbonization is a process that transforms economies to lower greenhouse gas (GHG) emissions per unit of economic output, aiming towards net-zero GHG emissions. This process could also reduce short-lived climate pollutant (SLCP) emissions, including black carbon and methane. They have relatively short atmospheric lifetimes but have large radiative forcing and impact human health. Therefore, reducing SLCPs can improve air pollution and help mitigate climate change. Costa Rica was one of the first countries to have a decarbonization plan, and many others have stated their goal to reach net-zero emissions by around mid-century. However, reducing SLCP emissions as an economy decarbonizes is not guaranteed, and few examples in the literature have assessed how decarbonization impacts SLCPs. This paper estimates the SLCP emission reductions from Costa Rica's decarbonization plan. Through a value chain analysis and the identification of implementation barriers, the paper also evaluates which policy instruments can advance SLCP mitigation in multiple sectors, creating implementation synergy. We find that mitigation measures, by 2050, in the transport, agricultural, solid waste, and industrial sectors avoid 25.2 kt of black carbon emissions (23 times the 2018 emissions) and 2167 kt of methane (15 times the 2018 emissions). However, the country faces financial and governance challenges in each sector that will need overcoming to implement the intended mitigation measures. We identify a comprehensive environmental tax reform, the overhauling of urban regulatory plans, the strengthening of institutional capabilities, and low-carbon investment with favorable financing as crucial cross-sectoral policy synergies that will advance the implementation of SLCP mitigation. • Decarbonizing can reduce and avoid short-lived climate pollutant (SLCP) emissions. • Black carbon and methane (two SLCPs) cause global warming and poor air quality. • Some policy instruments can reduce SLCPs in multiple sectors, causing synergy. • Improved urban planning can favor the mitigation in transport and waste sectors. • Institutional strength and favorable financing are needed to advance mitigation. [ABSTRACT FROM AUTHOR]

As countries pay more attention to the issue of global warming, the solution of carbon emission reduction has important practical value. Most of the existing literature studied the driving factors of embodied carbon emissions. This paper creatively focuses on the impact of technological progress on embodied carbon emissions and on the embodied carbon emissions of different technology-intensive manufacturing industries, and aims to find out the important role of technological progress on embodied carbon emissions. This paper constructs a multi-regional input-output model based on the world input-output table, and analyzes and compares the changes in carbon emission intensity and export-implied carbon emissions of G7 countries from 2000 to 2014. This paper introduces the SDA model to investigate the impact of technology effects on the embodied carbon emissions of G7 countries' exports, and decomposes the technology effects into carbon emission technology effects and intermediate production technology effects. This study divides the manufacturing industries into low-tech, medium-low-tech, medium-high-tech and high-tech industries, and aims to examine the impact of technological progress effect on manufacturing with different levels of technology intensity. The empirical results reveal that, first, the carbon emission technical effect and the technical effect of intermediate production together constitute the technical effect. The carbon emission technology effect has a significant effect on suppressing the embodied carbon emissions of exports, while the impact of the intermediate production technology effect is relatively small, and the direction of action is uncertain. Second, the overall technological effect reduces the embodied carbon emissions of G7 countries' exports, and offsets the embodied carbon emissions brought about by the scale effect to a certain extent. That is, technological progress can effectively reduce the embodied carbon emissions of exports. Third, technological effect has the most significant effect on the low- and medium-tech industries, and the low- and medium-tech industries are also the manufacturing industries with the most embodied carbon exports in G7 countries. Relevant policy recommendations for global carbon emission reduction are put forward at the end of this paper. [ABSTRACT FROM AUTHOR]

Global warming is a global and critical challenge and car manufacturers pledge to reduce their carbon footprint. It is mandatory to assess the carbon footprint of current and upcoming vehicles to achieve these self-set and quantified targets. Life Cycle Assessment (LCA) is a standardized and scientifically acknowledged method to quantify a product's or company's environmental impact. Due to the complexity of a vehicle's cradle-to-gate phase, automation of LCAs is a suitable simplification strategy by importing product information and automatically assign them to pre-defined life cycle inventory (LCI) models. The data acquisition is a recognized issue, but the LCI modelling is hardly discussed in the literature for automated LCAs even though it has a significant influence on their accuracy. This paper presents an approach to elaborate an LCI model construct that enables consistent and efficient automated LCA while maintaining defined accuracy and applicability in commercial LCA software. Such an LCI model construct and its derivation are presented in this paper for automotive aluminium components considering sheet components, casting components and extrusion profiles. It is mandatory for a precise calculation to take the most influencing parameters into consideration. Grid points for each of these parameters are elaborated dependent on the characteristic if the parameter is continuously or discretely variable. The resulting LCI model construct makes this most influencing parameters customizable in an automated LCA. A generic method for the design of such an LCI model construct based on the findings of the use case was derived in this paper. The application of this methodology is not limited for vehicle's LCAs and carbon footprint, but other complex products and impact categories to enable efficient, consistent, and accurate LCA results for complex products. [ABSTRACT FROM AUTHOR]

The production of cement is associated with significant CO 2 emissions. The effective manner to cope with this challenge is the production of composite cements characterized by high Portland cement clinker replacement ratio. This contribution reports on the composition optimization of the ternary cement, with the purpose to maximize the cement performance evolution while minimizing its environmental impact. For this purpose, based on the understanding of the cement hydration and performance evolution, a modelling tool was developed allowing predictions of the compressive strength depending on the cement composition and curing time. The approach used accounted for the specific interactions among the Portland cement clinker, granulated blast-furnace slag and limestone and for the specific microstructure features in the investigate systems. The agreement between the predictions and performance evolution measured had confirmed the accuracy of the models developed as well as of the general concept of the composite cement optimization. Consequently, the effective global warming potential of the composite cements was calculated. This revealed that composite cements characterized by approximatively 50 wt.-% of Portland cement clinker, 40 wt.-% of granulated blast-furnace slag and 10 wt.-% of limestone are characterized by an appreciable performance and by the appreciably low environmental footprint. Image 1 • Paper focuses on the composite cements containing Portland cement clinker, slag and limestone • Modelling tool was developed for predictions of the compressive strength evolution depending on initial cement composition • The model is based on the thermodynamic calculations, while the empirical models are used for the kinetics of hydration and strength predictions • Cements are ranked by their effective global warming potential • Cements containing approximatively 50% of clinker, 40% slag and 10% of limestone are characterized by good performance and by low environmental footprint [ABSTRACT FROM AUTHOR]

Abstract Climate change has caused worldwide concern due to its adverse effects on the global ecosystem, economy and society. In this study, a new integrated framework was proposed for assessing the national vulnerability to climate change by considering both the sensitivity and adaptive capacity. Then, a first assessment of the spatial-temporal change in national vulnerability from 1996 to 2008 was provided from the global perspective. Finally, 171 countries were grouped, and hotspots of climate change were identified. Based on the results, the earth is more vulnerable than invulnerable, and the average rate of increase in the vulnerability index from 1996 to 2008 was 0.30%. African countries were identified as hotspots of vulnerability and instability in the changing climate, and 8 groups were clustered based on the key influencing index of 171 countries. The results of this new framework are consistent with the previous Fragile State Index and World Risk Index but provide more details and quantitative vulnerability analysis. The methods and results presented in this paper could be used as references for climate change adaption and policy at the global scale. Graphical abstract Image 106550 Highlights • A new method was proposed for assessing the vulnerability to climate change. • The spatial-temporal change in national vulnerability was provided. • Urrent earth become more vulnerable to climate change than ever before. • Key influencing factor were identified for effective adaption to climate change. • Countries were grouped, and hotspots of climate change were identified. [ABSTRACT FROM AUTHOR]

Abstract Offshore wind energy cumulative installed capacity has been increasing sharply in northern Europe since the early 2000s. This renewable energy could make easier the diversification of the energy mix or the mitigation of global warming. Likewise, its deployment might trigger some positive economic effects, such as job creation, GDP contribution or industrial diversification. For these reasons, it could be advisable to shed light on the main drivers that foster the diffusion of the capacity to generate energy from offshore wind. The main aim of this paper is to propose a comprehensive analytical framework of the main drivers behind the deployment of this renewable energy in the leading global markets. The methodological approach consists of descriptive studies and the proposal of a regression specification (country fixed-effect panel model) with a list of factors relating to offshore wind industry classified into three relevant groups. This proposed analysis represents a step ahead from traditional approaches, because it facilitates a systemic analysis of the main policy and market factors, as well as technological and natural drivers behind the deployment of this renewable energy. In addition, as another novelty, the analytical framework takes into account the specific sectoral stage of development and country heterogeneity. Highlights • A systemic methodological proposal for analysing offshore wind energy deployment. • Combination of policy, market and technology-specific variables. • The methodology captures country heterogeneity and sectoral stage of development. [ABSTRACT FROM AUTHOR]

Abstract Cleaner production is the continuous application of an integrated preventive environmental strategy which stressed the importance of environment and human beings. Although the application of cleaner production is becoming more and more mature in different industries, since the complexity of the mining operation itself and its extensive and complex impacts on the ecological environment, the application of cleaner production in the mining industry encounters great challenges. For this purpose, the paper presents some developments and new insights of environmental problems and deep mining strategy for cleaner production in mines. Firstly, the general impacts on the ecological environment of mining industry and the current corresponding solutions as well as future prospects are presented. Secondly, the ecological environment pollution induced by tailings dam and its elimination approaches are reviewed. For the accelerating volume of tailings dam waiting to be processed, the exploration and research of the comprehensive utilization and treatment of tailings is expected to be more effective with larger consumption and wider range of application. The development direction is the establishment of mine without tailings. With the development of modern technology, some intelligent monitoring and warning technologies have helped the mining engineers to keep a vigilant eye on tailings dam continually. Finally, to convert the "harm" of four highs and one disturbance induced by the complex mechanical environment in deep mines into "benefit", various specific measures with relatively high novelty and sustainability are recommended. Moreover, the conception map of safer and more efficient exploitation of resources in deep mines is depicted for industrial best practice and future research directions to enhance cleaner production work in mining. [ABSTRACT FROM AUTHOR]

Abstract Ice cream is consumed daily worldwide and yet its environmental impacts are scarcely known. This paper presents a first comprehensive life cycle assessment of market-leading vanilla and chocolate ice creams, considering both regular and premium products. The results suggest that their impacts are broadly similar across the 18 impact categories considered. For the majority of the impacts, chocolate regular ice cream is a slightly better option than the other varieties. Overall, the regular versions of the product have lower environmental impacts than the premium. Raw materials contribute most to the majority of impacts (>70%). The exception is ozone depletion, which is mainly due to refrigerated storage at the retailer (95%). The impacts are highly sensitive to the duration of storage and the type of refrigerant. Furthermore, the global warming potential of chocolate ice cream is very sensitive to land use change associated with cocoa beans cultivation, increasing the impact by 60%. Considering annual consumption of ice cream in the UK, the total primary energy demand contributes to 3.8% of energy consumption in the whole food sector while greenhouse emissions contribute 1.8%. Future improvements in the supply chain should focus on milk and cocoa production, reduced storage time and types of refrigerant used. Product reformulation to reduce the amount of milk (fat) and sugar should also be considered, in line with the emerging health-driven market trends. In addition to industry and policy makers, the findings of this study will be of interest to consumers, enabling them to make better choices with respect to environmental impacts of most popular ice creams. [ABSTRACT FROM AUTHOR]

Abstract: The construction industry is characterized by high-energy consumption and intensive-carbon emissions. With the promotion of energy-saving technologies in buildings combined with concerns for global-warming, there has been a gradual shift in energy conservation requirements from the operation stage to the construction stage. This shift is primarily delivered through the use of improved materials and technologies implemented during the building construction stage. Building industrialization is an innovative construction approach that has experienced rapid up-take in China. The use of prefabricated components in building construction is now a key feature of the building industrialization process, and thus warrants greater attention in terms of its energy consumption and carbon emission. This paper utilizes a process-based method to assess carbon emissions during the prefabrication manufacturing process in offsite factories. A life cycle assessment is applied to a case study concerning a prefabricated concrete interior wall board. Carbon sources during the manufacturing process is identified and the carbon emissions are quantified using a factor method. The results show that carbon emissions from the interior prefabricated concrete wallboard of volume 0.609 m3 is 427 kg, with the vast majority of the emissions originating from building materials, at 96.2%. The carbon emissions from electricity consumption constitutes 3.65%, and that from workers make up only 0.16%. The findings of this study offer a carbon emission benchmark for building industrialization, which in turn serve as a solid data foundation for carbon assessment of prefabricated buildings in China. Highlights • Building industrialization is an innovative construction approach. • A process-based method is developed to assess carbon emissions of pre-components. • A life cycle assessment is applied to a case study. • Carbon sources during the manufacturing process is identified. [ABSTRACT FROM AUTHOR]

Abstract An overview of relevant literature shows how supply chain and network flow models represent useful tools in the area of clean energy generation and processing related waste. This paper deals with a specific network flow problem where the mixed municipal waste as a secondary and partly renewable energy carrier is transported from waste producers (municipalities), through pre-processing facilities, to its final treatment in waste processing units and in which the optimal flow is desired. The results obtained for the minimum total costs, including treatment and transportation, correspond to production and savings of a certain amount of CO 2 and other greenhouse gases which is described by Global Warming Potential (GWP). The average cost was 74 EUR/t and average GWP was 37 kg CO 2eq /t. The GWP contribution varies among the waste producers as a result of treating waste in different places and various technologies. However, to identify the individual contributions, the detailed waste flow identification is required. The flow distribution is unknown due to the effect of merging and splitting waste streams in the network. For this reason, a consequent network flow problem for exact waste flows identification is proposed. The model follows the principle ideas of multi-commodity network flow modelling and it reveals the variability of cost and GWP contribution for all producers in the investigated area. The proposed method has been tested through a case study considering treatment of mixed municipal waste. The results obtained by the original implementation in GAMS are presented and discussed in detail. The GWP contribution varied between −173 and 880 kg CO 2eq /t and significant waste producers were identified in the network regarding GWP. The results are important for setting the target for emission reduction in individual regions and for particular producers. The principle can be applied in general to any commodity and network flow problem. Highlights • Emission, processing and cost analysis in a feasibility study for waste treatment. • Branching network structure lead to the loss of information in producer waste flow. • A new computational approach extends a basic flow and capacity allocation problem. • Waste flows are identified to evaluate GWP contribution of the particular producer. [ABSTRACT FROM AUTHOR]

Abstract Mitigating emissions of carbon dioxide and other greenhouse gases is critical if we are to meet the increasing threats posed by global warming. Previous studies have shown conclusively that a substantial part of all carbon dioxide emissions comes from transportation, and that Eco-Driving principles based upon strategic, tactical, and operational decisions have the potential to reduce these emissions. However, these well-established principles have been neglected within the construction industry despite the large number of transport-related activities that attend most construction projects. This paper therefore aims to increase awareness and understanding within the industry of the potential reductions of both carbon dioxide emissions and the costs of earthmoving activities that could be achieved through the use of Eco-Driving principles. A new concept labeled 'Eco-Hauling', which extends the Eco-Driving concept to earthmoving, is proposed. A case study of a road project has been conducted and used to demonstrate the new concept. Discrete-event simulation is used to support the data analysis as it enables modeling of the dynamic interactions between equipment and activities of multiple different construction scenarios. The presented findings show that a combination of decisions taken from the proposed Eco-Hauling concept can enable earthmoving contractors to substantially reduce carbon dioxide emissions and costs while maintaining productivity. This study has implications for the general advancement of Eco-Driving theory, as well as for project management as it sets out a viable approach for reducing greenhouse gas emissions in construction projects. Highlights • The Eco-Hauling concept is proposed by extending Eco-Driving to earthmoving. • The concept was demonstrated in a case study using discrete-event simulation. • A multi objective trade-off determines the optimal Eco-Hauling scenarios. • The reduction potential was shown at 6.94% in CO 2 emissions and 15.63% in costs. [ABSTRACT FROM AUTHOR]

Abstract Climate change, characterized with global warming, created severe potential threat to natural ecosystems and sustainable development of human society. Effective adaptation measures to mitigate the negative effects of climate change would affect both the ecological environment and the social economy. In this paper, we built a positive mathematical programming model to assess adaptation measures, which were divided into four aspects, to tackle climate change based on the survey data obtained from seven counties and 32 villages in the region of Hulun Buir. The results showed that, livestock breeding improvement had a positive impact on grass yield, livestock number and especially herder's household income (the most in Ewenki (11.7%) and the least in Xinzuo (2.3%)); artificial grassland project could lead to an average growth rate of 8.4% in household income among the four counties; current policies and going out for work could also increase household income, however, not a sustainable choice. To realize sustainable development in the context of global climate change, the vitality of sustainable development of animal husbandry under the premise of protecting ecological environment should be enhanced. For example, improving the safety and quality of livestock products through influencing livestock breeding, processing technology and high quality forage, and ensuring adequate forage supplement through artificial grassland project. Highlights • The pastoral regions in Hunlun Buir have a poor capability for resisting natural disasters. • We built a positive mathematical programming model to assess adaptation measures in a pastoral region. • Livestock breeding improvement and artificial grassland project had a positive impact on income. • Sustainable development of animal husbandry under the premise of protecting ecological environment should be enhanced. [ABSTRACT FROM AUTHOR]

In order to reduce the environmental hazards from non-renewable energy consumption and promote sustainable social development, renewable electric energy has been developed vigorously in countries around the world as the best strategical choice of cleaner energy development. Especially in transportation sector, large quantities of electric vehicles (EVs) are considered the most promising alternative to alleviate the problems of energy crisis, environment pollution and climate warming. However, with the rapid growth of EVs, much more small-scale fast charging stations (FCSs) have limited distribution capacity to satisfy every charging demand simultaneously and are under big pressure to ensure good service capability. Based on current conditions, this paper proposes a hierarchical power control strategy (HPCS) that considers EVs demand, FCS service capability, and FCS daily load fluctuation as a whole with weighted dynamic priority (WDP) and fluctuation smoothing index (FSI). The assumed system model is based on each EV's unique demand and FCS constraints. The simulation results show that the optimal WDP is sufficiently elastic to satisfy EV's demand urgency and fast charging station operator (FCSO)'s income simultaneously. Moreover, FSI is illustrated concretely to decrease daily load fluctuation and peak load value, which is useful to reduce overall power loss. As a result, the HPCS can be realized on a 32-bit processor platform in a FCS to gain an optimal balance between EVs demands and FCSO's profits. [ABSTRACT FROM AUTHOR]

Due to the severe problems caused by global warming, controlling greenhouse-gas emissions has become an emerging topic around the world. This situation has led to the implementation of legislations, forcing companies to implement innovations and strategies to prevent and reduce carbon emissions. Nevertheless, the effectiveness of implementing these strategies and the estimation to fulfill Kyoto Protocol's 2020 target Emission Trading Schemes needs to be further analysed and discussed. This paper reviews the existing greenhouse-gas-emission legislations, as well as carbon offset programs worldwide. A detailed analysis on carbon emissions trends related to emissions penalties is shown for six major countries. The optimal penalty for emissions trading schemes is also analyzed and discussed in this paper. Future changes that could be made to the existing programs for enhancing their effectiveness are also suggested. It was found that carbon emissions decreased around 1.58% per year since Emission Trading Schemes implementation. Around 23.43% of CO 2 reduction can be reached after 10 years of Emission Trading Schemes implementation, compared to the trend when Emission Trading Schemes was not implemented. Despite Emission Trading Schemes implementation is extremely recent, based on the existing data a first estimation of the optimal penalty in achieving the maximum carbon reduction it was found around US$90.22 per tonne. However, as the implementation period of Emission Trading Schemes is still limited for most countries, it is necessary to explore similar analysis as future work. [ABSTRACT FROM AUTHOR]

Global warming combined with low carbon transition plans is threatening the future of high energy consumption industry sectors in the European Union (EU). The need to respond to environmental challenges is demonstrated by support for international level energy policies and legal requirements, such as the Kyoto Protocol which the EU supports, and increased EU-level environmental legislation and energy policies. The effect of these initiatives is gradually transforming industrial activities in the EU. However, since not all countries have adopted these policies, evaluation of their net effect needs to take account also of side-effects such as delocalization of industry activity and the legal environmental frameworks in the countries where companies have chosen to relocate. This paper analyses EU energy policy and its impact on a particular energy intensive industry, the European ceramic tile sector. The discussion in this paper is not about the purpose of EU legislation, but about its effects on a specific industry. The effect of policy on industry is not a new topic, but the question of the unwanted effects of environmental and energy policy on European industry is becoming more relevant as the struggle to achieve a post-carbon Europe increases. In focussing on a specific set of EU legislation on a particular industry this article adds to the debate by showing the negative effects of policy mechanisms. The need for a scientific evaluation of the systemic changes required for a transition to a resource-efficient, green and competitive low-carbon economy outlined in the 7th Environment Action Programme is highlighted. It is suggested that the EU should periodically re-evaluate its Emissions Trading Scheme legislation to include specific actions and a follow up system which would prevent the best performing environmental companies from delocalizing or shutting down. [ABSTRACT FROM AUTHOR]

Greenhouse gas (GHG) emissions from food transportation include emissions from energy consumption and refrigerant leakage into the environment. The hydrofluorocarbons (HFCs) and perflourocarbons (PFCs) generated by refrigerant leakage markedly increase global warming (GW). The issue of emissions from temperature-controlled food delivery is important for carriers. This paper aims to estimate GHG emissions from the Traditional Multi-Vehicle Distribution (TMVD) and Multi-Temperature Joint Distribution (MTJD) systems by formulating mathematical models that consider delivery scheduling for time-dependent demand of multi-temperature foods. Furthermore, this paper analyzes and compares the emissions from each source in the two systems to explore the influence of delivery scheduling on emissions. The results indicate that, as compared to the TMVD system, the MTJD system yields less total emissions by lowering fuel consumption even when it generates more GHG due to refrigerant leakage and electric power consumption for freezers, which accounts for an extremely low percentage of total emissions. This paper suggests carriers should use the MTJD system to reduce routing distances and emissions simultaneously. [ABSTRACT FROM AUTHOR]

Global warming may cause the average atmospheric temperature to exceed 2 °C by the end of this century, instigating climate change and adversely affecting human lives. Emissions of carbon dioxide (CO 2) should be reduced to overcome the problems of global warming and climate change. The applications of negative emission technologies (NETs) are proposed to reduce terrestrial CO 2 and are identified as one of the prominent options for the energy system transition. Most negative emission technologies require energy to function, which has to be produced from additional energy sources. Understanding the interdependence of the energy sources and NETs for planning the carbon-constrained energy sector is essential. A novel graphical approach, founded on the concepts of Pinch Analysis, to decarbonize the energy sector is purported in this paper. The proposed method determines the minimum integration of negative emission technologies required to attain the allowed CO 2 emission limit while satisfying the energy demand. Four different examples are used to show the applicability of the suggested approach with different NETs: carbon capture and sequestration (CCS), bioenergy with carbon capture and storage (BECCS), and direct air capture (DAC). In these examples, renewable-based energy sources, fossil-based energy sources, as well as energy-producing negative emission technologies are used as compensatory energy sources. The proposed graphical approach has the potential to be used as a planning tool to decarbonize the energy sector involving interdependent energy sources and NETs. [Display omitted] • Negative emission technologies help decarbonize the energy sector. • Identified dependence between the energy sector and negative emission technologies. • A graphical method is proposed to integrate negative emissions technologies. • Determined minimum compensatory energy for adopting negative emission technologies. • The proposed graphical approach provides insight into the overall systems planning. [ABSTRACT FROM AUTHOR]

Global warming can be solved with carbon trading. When carbon emissions become a commodity, it can be a powerful motivator for companies to optimize production capacity and innovate technologically. The goal of this paper is to examine the way in which China's carbon emissions trading policy (CET) influences firm technological innovation in seven pilot regions, using a sample of firms in eight high-carbon industries. We employ difference-in-difference (DID) as well as DID-based propensity score matching (PSM-DID) models to investigate the influence of China's carbon emission policy on firms' technological innovation by using 4745 observations of 749 A-share listed firms in eight high-carbon industries in mainland China from 2007 to 2021. According to the findings, China's CET policy significantly boosts firms' technological innovation, and this beneficial effect persists even after a series of robustness tests that change the policy's implementation year and the technological innovation measure. Further analysis shows that this positive effect is heterogeneous across high-carbon industries and firms with different ownership. In addition, based on the external governance perspective, we find that CET policy performs better in firms in high-carbon industries with a sizable portion of ownership held by institutional investors. This study suggests the effectiveness of CET policy in promoting firms' technological innovation, confirms empirical evidence for Porter's hypothesis, and provides a basis for Chinese firms to achieve their emission reduction targets by improving technological innovation. [ABSTRACT FROM AUTHOR]

Climate models and decarbonization scenarios use carbon budgets to distribute emission allowances and derive reduction targets for sectoral developments to limit global warming. These requirements are often not aligned with corporate climate targets due to missing targeting approaches for sectors and scopes as well as differences between absolute and intensity targets. Therefore, the aim of this paper is the development of an allocation scheme by combining frameworks for CO 2eq accounting like the ISO 14040, the Greenhouse Gas Protocol and the IPCC Guidelines for inventory accounting to link sectoral carbon budgets to stages of product life cycles and vice versa. To calculate carbon budgets and reduction targets, a case study for the automotive industry is conducted. Consequently, average data sets of emission reporting, studies and LCAs for material compositions, forecasts on vehicles sales and the shares of electrified products are used. Depending on the applied decarbonization scenarios, different reduction trajectories aligned with pathways to limit global warming well below 2 °C and respectively to 1.5 °C are determined. As a result, the company has to reduce their absolute emissions from 2019 to 2030 by −25% to −46% equal to an intensity target of −32% to −51%. • Corporate climate targets need to be aligned with carbon budgets based on climate scenarios. • Combining life cycle management and reporting frameworks enables a method to derive sectoral decarbonization pathways. • For the automotive industry, a case study aligned to different decarbonization scenarios from IEA and IRENA is conducted. • Efforts to reduce GHG emissions by −25% to −46% from 2019 to 2030 on absolute level are required. [ABSTRACT FROM AUTHOR]

Global warming, climate change, and resource depletion have forced us to reconsider energy usage and efficiencies over the last few decades. Residential and commercial buildings are both large energy consumers, so improving energy and material usage efficiency in this sector is a common research topic. According to a recent study, the Building Sector (BS) accounts for 40% of greenhouse gas emissions. The primary objective of this paper is to examine and assess the potential of Renewable Energy Systems (RES) and their combinations for enhancing energy efficiency in the BS. Specifically, the focus will be on converting low energy-efficient buildings into highly efficient ones. The potential of the RES and their combinations for the BS is evaluated based on payback durations, energy generation, and reduction of CO 2 emissions. The optimization flow charts for the RES, feasibility studies, commercialization road maps of energy storage systems and the necessity of control mechanisms for enhancing RES efficiency were discussed. Additionally, the technology drawbacks are discussed, along with various innovative techniques recommended to direct future study in this area. Finally, this article assists the audience clear idea in the selection of the right combination of potential RES based on different conditions to achieve deep decarbonization in BSs. • Buildings sector (BS) responsible for 40% of GHG emissions. • Study assesses potential of Renewable Energy System (RES) in BS. • RES evaluated on payback, energy generation, and CO 2 reduction. • Optimization, feasibility and commercialization studies were discussed. • Article recommends right RES combinations for deep decarbonization in BS. [ABSTRACT FROM AUTHOR]

With the confluence of rapidly continuing economic development and increasing greenhouse gas emissions, the frequency and severity of natural disasters caused by global warming have increased in recent years. The international Financial Stability Board established the Task Force on Climate-Related Financial Disclosures (TCFD) to provide recommendations for collecting and disclosing climate-related information that is helpful for decision-making such that investors, decision-makers and supervision units can understand and more accurately assess climate-related risks as well as opportunities. However, the TCFD recommendations only provide a general framework of risks and opportunities from which companies cannot derive specific disaster-related data for regional climate disclosures. For stakeholders in different continents and regions, there is a need to develop a disaster data-driven model that can precisely disclose regional risks. Our study develops a regional climate framework for TCFD based on natural language processing that can process and analyze data from historical local news. The paper aims to offer suitable climate recommendations for different regions and suggest possible preventive measures and responses to emergencies caused by various disasters. The contributions of this research contain: (1) using unsupervised learning to present climate change in a quantitative way; (2) helping enterprises adjust sustainable strategies according to conditions in different regions; (3) extending involvement from a small area to a large area, quantifying climate data so that investors can make decisions based on factual results; (4) combining artificial intelligence with climate change in the field of TCFD. [Display omitted] • We develop a data-driven regional climate framework for TCFD based on deep learning. • This framework can help enterprises minimize risks along with costs and can be applied to other industries. • This research supplements quantitative information in TCFD and provides a scientific climate risk management method. • The first study that applies artificial intelligence to climate change in the field of TCFD. [ABSTRACT FROM AUTHOR]